Job Description
We are Nexus Future Labs, a pioneer in next-generation artificial intelligence. We are building the infrastructure that will define the technological landscape of 2026 and beyond. We are seeking a visionary Senior AI Architect to lead our R&D division.
In this role, you will not just implement existing models; you will architect the neural frameworks of tomorrow. You will bridge the gap between theoretical quantum computing and practical deep learning applications. If you are obsessed with the future of AI and want to solve problems that don't even exist yet, we want to meet you.
Why join us?
- Work on cutting-edge projects that redefine the industry.
- Competitive equity package and remote-first flexibility.
- Top-tier benefits and continuous learning stipend.
Responsibilities
- Architect Next-Gen AI Systems: Design and deploy scalable, fault-tolerant AI infrastructure capable of handling exascale data processing.
- Pioneering Research: Lead internal research initiatives into emerging fields such as generative adversarial networks, reinforcement learning, and explainable AI (XAI).
- Algorithm Optimization: Optimize model inference times and reduce computational costs using edge computing and model pruning techniques.
- Technical Mentorship: Mentor a team of junior data scientists and engineers, fostering a culture of innovation and technical excellence.
- Strategic Planning: Collaborate with C-suite executives to define the long-term AI roadmap and technology adoption strategies.
- Compliance & Ethics: Ensure all AI deployments adhere to strict ethical guidelines and safety protocols.
Qualifications
- Education: Ph.D. or Master’s degree in Computer Science, Machine Learning, or a related quantitative field.
- Experience: 8+ years of experience in software engineering and AI development, with at least 3 years in a leadership or architect role.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and CUDA. Experience with distributed systems (Kubernetes, Docker).
- Advanced Knowledge: Deep understanding of neural network architectures, transformer models, and large language models (LLMs).
- Problem Solving: Demonstrated ability to tackle ambiguous problems and derive innovative solutions.
- Communication: Excellent verbal and written communication skills for translating complex technical concepts to stakeholders.